Fourmile Calibrations

KGE for calibrations

Parameters

Scatter plots

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## chr (4): run, param, input_data, year_missing
## dbl (1): value
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## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

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Histograms

## `summarise()` has grouped output by 'param'. You can override using the
## `.groups` argument.

## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

Outlet results

Hydrograph

## Rows: 3561 Columns: 24
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl  (23): grid_2011, grid_2012, grid_2013, grid_2014, grid_2015, grid_2016,...
## date  (1): date
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## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Annual hydrographs

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KGE

Overall KGE

name	value
statn2015	0.66
grid2015	0.78
statn2013	0.78
statn2014	0.79
statn2011	0.80
statn2019	0.80
statn2012	0.81
statn2016	0.81
statn2018	0.81
statn2020	0.81
statn2017	0.82
statnall	0.83
grid2013	0.84
grid2016	0.84
grid2018	0.85
grid2014	0.86
grid2017	0.87
grid2011	0.88
grid2012	0.88
grid2019	0.88
grid2020	0.88
gridall	0.88

KGE by year

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid2011	0.43	-0.62	0.72	0.61	0.76	0.73	0.28	0.73	0.63	0.68
grid2012	0.81	-1.07	0.56	0.47	0.77	0.58	0.45	0.63	0.83	0.54
grid2013	0.76	-1.23	0.30	0.67	0.83	0.70	0.25	0.73	0.89	0.56
grid2014	0.74	-0.30	0.65	0.43	0.75	0.67	0.46	0.81	0.81	0.70
grid2015	0.63	0.26	0.75	0.48	0.56	0.68	0.68	0.71	0.88	0.84
grid2016	0.60	-1.20	0.65	0.56	0.65	0.62	0.39	0.78	0.82	0.48
grid2017	0.60	-0.91	0.60	0.59	0.79	0.81	0.40	0.65	0.88	0.78
grid2018	0.69	-1.56	0.65	0.59	0.65	0.70	0.31	0.57	0.90	0.73
grid2019	0.76	-0.40	0.62	0.54	0.74	0.78	0.39	0.64	0.89	0.75
grid2020	0.49	-0.73	0.72	0.66	0.74	0.72	0.15	0.79	0.75	0.72
gridall	0.50	-0.75	0.77	0.63	0.76	0.76	0.20	0.79	0.73	0.78
statn2011	-0.04	-1.49	0.86	0.50	0.78	0.76	0.60	0.53	0.46	0.65
statn2012	0.06	-2.23	0.91	0.49	0.82	0.83	0.60	0.59	0.58	0.72
statn2013	0.35	-0.59	0.03	0.68	0.90	0.82	0.68	0.82	0.77	0.68
statn2014	0.06	-1.12	0.93	0.40	0.77	0.73	0.65	0.61	0.44	0.60
statn2015	0.65	-1.60	0.80	0.30	0.44	0.76	0.65	0.76	0.56	0.61
statn2016	0.09	-1.71	0.76	0.48	0.75	0.77	0.72	0.75	0.59	0.65
statn2017	0.06	-0.98	0.88	0.62	0.82	0.80	0.41	0.70	0.48	0.75
statn2018	0.11	-1.69	0.78	0.52	0.74	0.80	0.67	0.46	0.49	0.70
statn2019	0.08	-1.46	0.85	0.49	0.78	0.81	0.67	0.73	0.47	0.67
statn2020	0.00	-1.56	0.91	0.47	0.79	0.77	0.66	0.59	0.51	0.70
statnall	0.08	-0.95	0.82	0.59	0.81	0.79	0.55	0.75	0.54	0.75

Annual KGE plots

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Ensembles

Hydrograph

Annual hydrographs

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KGE

KGE for ensembles (entire period)

grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
0.88	0.84	0.87	0.88	0.83

Annual KGEs for ensembles

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid_ensemble	0.69	-0.65	0.65	0.56	0.72	0.70	0.40	0.73	0.84	0.75
statn_ensemble	0.18	-1.35	0.85	0.50	0.77	0.82	0.68	0.73	0.62	0.71
all_ensemble	0.65	-0.91	0.79	0.53	0.76	0.79	0.56	0.79	0.82	0.77
grid_all	0.50	-0.75	0.77	0.63	0.76	0.76	0.20	0.79	0.73	0.78
statn_all	0.08	-0.95	0.82	0.59	0.81	0.79	0.55	0.75	0.54	0.75

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Monthly KGEs for ensembles

month	grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
4	0.79	0.58	0.71	0.75	0.63
5	0.76	0.77	0.78	0.78	0.77
6	0.81	0.35	0.59	0.84	0.28
7	0.41	0.03	0.30	0.32	0.27
8	-0.56	-0.75	-0.54	-0.78	0.02
9	-0.04	0.29	0.19	0.48	0.61

RMSE

Ensemble RMSE for entire period

grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
0.2657	0.3293	0.2689	0.2779	0.3526

Annual RMSE for ensembles

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid_ensemble	0.1340	0.1919	0.4140	0.2734	0.4849	0.2067	0.3173	0.0855	0.0873	0.1404
statn_ensemble	0.3728	0.2533	0.2176	0.3231	0.6394	0.2628	0.3467	0.1526	0.2330	0.2024
all_ensemble	0.2258	0.2133	0.2687	0.2828	0.5305	0.2140	0.2978	0.1037	0.1456	0.1511
grid_all	0.1838	0.2031	0.3559	0.2783	0.4891	0.2021	0.4230	0.0714	0.1146	0.1220
statn_all	0.4080	0.2117	0.3177	0.2992	0.6811	0.2669	0.4156	0.1620	0.2423	0.1950

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Monthly RMSEs for ensembles

month	grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
1	NaN	NaN	NaN	NaN	NaN
2	NaN	NaN	NaN	NaN	NaN
3	NaN	NaN	NaN	NaN	NaN
4	0.2369	0.2928	0.2436	0.2743	0.3176
5	0.4613	0.5960	0.4802	0.4931	0.6591
6	0.1764	0.3442	0.2437	0.1962	0.3430
7	0.1720	0.2378	0.1928	0.1888	0.2009
8	0.0720	0.0814	0.0725	0.0779	0.0557
9	0.2973	0.1413	0.1956	0.2498	0.2050
10	NaN	NaN	NaN	NaN	NaN
11	NaN	NaN	NaN	NaN	NaN
12	NaN	NaN	NaN	NaN	NaN

NSE

Ensemble NSE for entire period

grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
0.8	0.7	0.8	0.79	0.66

Annual NSE for ensembles

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid_ensemble	0.7390	-3.6990	0.7234	0.6803	0.8510	0.8284	0.6876	0.8587	0.8846	0.7792
statn_ensemble	-1.0203	-7.1883	0.9236	0.5534	0.7409	0.7226	0.6271	0.5503	0.1774	0.5406
all_ensemble	0.2591	-4.8040	0.8834	0.6579	0.8216	0.8160	0.7248	0.7923	0.6789	0.7441
grid_all	0.5090	-4.2639	0.7956	0.6686	0.8484	0.8360	0.4447	0.9016	0.8011	0.8331
statn_all	-1.4196	-4.7168	0.8371	0.6169	0.7061	0.7137	0.4641	0.4935	0.1102	0.5738

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Monthly NSE for ensembles

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
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## Warning in NSE.default(grid_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
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## Warning in NSE.default(grid_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
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## Warning in NSE.default(grid_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(grid_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
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## Warning in NSE.default(grid_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(grid_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it
## is not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(all_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
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## Warning in NSE.default(all_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(all_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(all_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(all_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(all_ensemble, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(grid_all, obs): 'sum((obs - mean(obs))^2)=0' => it is not
## possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(grid_all, obs): 'sum((obs - mean(obs))^2)=0' => it is not
## possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(grid_all, obs): 'sum((obs - mean(obs))^2)=0' => it is not
## possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(grid_all, obs): 'sum((obs - mean(obs))^2)=0' => it is not
## possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(grid_all, obs): 'sum((obs - mean(obs))^2)=0' => it is not
## possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(grid_all, obs): 'sum((obs - mean(obs))^2)=0' => it is not
## possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_all, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_all, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_all, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_all, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_all, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in NSE.default(statn_all, obs): 'sum((obs - mean(obs))^2)=0' => it is
## not possible to compute 'NSE'

month	grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
1	NA	NA	NA	NA	NA
2	NA	NA	NA	NA	NA
3	NA	NA	NA	NA	NA
4	0.6319	0.4378	0.6108	0.5066	0.3388
5	0.7853	0.6417	0.7674	0.7547	0.5618
6	0.7549	0.0670	0.5323	0.6966	0.0734
7	-0.3295	-1.5403	-0.6707	-0.6008	-0.8134
8	-3.6472	-4.9355	-3.7112	-4.4360	-1.7858
9	0.6643	0.9241	0.8547	0.7629	0.8403
10	NA	NA	NA	NA	NA
11	NA	NA	NA	NA	NA
12	NA	NA	NA	NA	NA

Percent bias

Positive values indicate model overestimation and negative values model underestimation.

Ensemble pbias for entire period

grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
-0.8	-2.2	-1.5	0	-3.1

Annual pbias for ensembles

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid_ensemble	-20.4	51.9	14.9	-29.2	-10.5	-19.0	55.0	25.2	-8.4	-2.8
statn_ensemble	28.6	40.0	11.9	-34.6	-11.5	-12.2	27.1	10.1	-4.3	-18.9
all_ensemble	3.0	45.4	13.1	-31.6	-10.8	-15.6	42.0	16.9	-6.8	-10.8
grid_all	-41.3	37.0	14.8	-25.4	-3.4	-16.1	70.4	18.5	-16.9	-6.2
statn_all	23.9	43.1	4.8	-31.1	-12.9	-15.6	32.7	0.2	-4.6	-14.5

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Monthly pbias for ensembles

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(all_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(all_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(all_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(all_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(all_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(all_ensemble, obs): 'sum((obs)=0', it is not possible
## to compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(grid_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

## Warning in valindex.default(sim, obs): 'sim' and 'obs' are empty or they do not
## have any common pair of elements with data !!

## Warning in pbias.default(statn_all, obs): 'sum((obs)=0', it is not possible to
## compute 'pbias'

month	grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
1	NA	NA	NA	NA	NA
2	NA	NA	NA	NA	NA
3	NA	NA	NA	NA	NA
4	7.2	33.5	19.8	6.3	21.0
5	-8.9	3.2	-2.5	-9.0	10.2
6	-11.1	-51.0	-30.6	-3.7	-48.7
7	15.0	3.3	8.9	20.6	-8.2
8	70.3	27.5	47.5	68.9	-2.0
9	92.7	70.1	77.0	44.9	22.1
10	NA	NA	NA	NA	NA
11	NA	NA	NA	NA	NA
12	NA	NA	NA	NA	NA

Cumulative Q

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Percentiles

## `summarise()` has grouped output by 'year', 'cal_run'. You can override using
## the `.groups` argument.

## Warning: Unknown or uninitialised column: `percentile`.

## list()

Catchment results

## New names:
## Rows: 3561 Columns: 45
## ── Column specification
## ──────────────────────────────────────────────────────── Delimiter: "," dbl
## (44): precip, tmean, tmax, tmin, rhum, wind, rain, snow, solRad, netRad... date
## (1): time
## ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
## Specify the column types or set `show_col_types = FALSE` to quiet this message.
## New names:
## Rows: 3561 Columns: 45
## ── Column specification
## ──────────────────────────────────────────────────────── Delimiter: "," dbl
## (44): precip, tmean, tmax, tmin, rhum, wind, rain, snow, solRad, netRad... date
## (1): time
## ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
## Specify the column types or set `show_col_types = FALSE` to quiet this message.
## • `actET` -> `actET...22`
## • `actET` -> `actET...39`

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## `summarise()` has grouped output by 'year'. You can override using the
## `.groups` argument.

## `summarise()` has grouped output by 'year'. You can override using the
## `.groups` argument.